Opensift Opensift vulnerabilities

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Published CVEs affecting Opensift Opensift: 6 record(s), with affected versions and fixes.
cpe:2.3:a:opensift:opensift

CVE-2026-28677 High · 8.2 CWE-918 Mar 6, 2026

OpenSift: Insufficient URL destination restrictions in ingest flow could enable SSRF-style internal access

OpenSift is an AI study tool that sifts through large datasets using semantic search and generative AI. Prior to version 1.6.3-alpha, the URL ingest pipeline accepted user-controlled remote URLs with incomplete destination restrictions. Although private/local host checks existed, missing restrictions for credentialed URLs, non-standard ports, and cross-host redirects left SSRF-class abuse paths in non-localhost deployments. This issue has been patched in version 1.6.3-alpha.

CVE-2026-28676 High · 8.8 CWE-22 Mar 6, 2026

OpenSift: Insufficient path containment checks in storage helpers could allow path traversal-style file operations

OpenSift is an AI study tool that sifts through large datasets using semantic search and generative AI. Prior to version 1.6.3-alpha, multiple storage helpers used path construction patterns that did not uniformly enforce base-directory containment. This created path-injection risk in file read/write/delete flows if malicious path-like values were introduced. This issue has been patched in version 1.6.3-alpha.

CVE-2026-28675 Medium · 5.3 CWE-200 Mar 6, 2026

OpenSift: Sensitive implementation details exposed via raw exception messages and token-returning endpoints

OpenSift is an AI study tool that sifts through large datasets using semantic search and generative AI. Prior to version 1.6.3-alpha, some endpoints returned raw exception strings to clients. Additionally, login token material was exposed in UI/rendered responses and token rotation output. This issue has been patched in version 1.6.3-alpha.

CVE-2026-27189 Medium · 5.8 CWE-362 Feb 20, 2026

OpenSift: Race-prone local persistence could cause state corruption/loss

OpenSift is an AI study tool that sifts through large datasets using semantic search and generative AI. Versions 1.1.2-alpha and below, use non-atomic and insufficiently synchronized local JSON persistence flows, potentially causing concurrent operations to lose updates or corrupt local state across sessions/study/quiz/flashcard/wellness/auth stores. This issue has been fixed in version 1.1.3-alpha.

CVE-2026-27170 High · 7.1 CWE-20 Feb 20, 2026

OpenSift: SSRF risk in URL ingestion endpoint

OpenSift is an AI study tool that sifts through large datasets using semantic search and generative AI. In versions 1.1.2-alpha and below, URL ingest allows overly permissive server-side fetch behavior and can be coerced into requesting unsafe targets. Potential access/probing of private/local network resources from the OpenSift host process when ingesting attacker-controlled URLs. This issue has been fixed in version 1.1.3-alpha. To workaround when using trusted local-only exceptions, use OPENSIFT_ALLOW_PRIVATE_URLS=true with caution.

CVE-2026-27169 High · 8.9 CWE-79 Feb 20, 2026

OpenSift: Persistent XSS Chat Tool Rendering

OpenSift is an AI study tool that sifts through large datasets using semantic search and generative AI. Versions 1.1.2-alpha and below render untrusted user/model content in chat tool UI surfaces using unsafe HTML interpolation patterns, leading to XSS. Stored content can execute JavaScript when later viewed in authenticated sessions. An attacker who can influence stored study/quiz/flashcard content could trigger script execution in a victim’s browser, potentially performing actions as that user in the local app session. This issue has been fixed in version 1.1.3-alpha.